Abstract
Aiming at damping the inter-area oscillations of power systems, the present study proposes a wide-area decentralized coordinated control framework, where the upper-level controller is designed to coordinate the lower-level multiple FACTS devices. Based on the polytopic differential inclusion method, the derived controller adopts a decentralized structure and it is guaranteed to be robust to meet the demand of operation under multiple operating conditions. Since time delay of wide area signal transmission is inevitable, in what follows, the quantum evolution algorithm (QEA) method is introduced to find an optimal solution of the time-delay coordinated controller. In this regard, the stability of the system with a prescribed time delay is guaranteed and the system damping ratio is increased. Effectiveness and applicability of the proposed controller design methods have been demonstrated through numerical simulations.
Highlights
With the rapid development of power systems, in recent years, the complexity of system structure and operating modes has been greatly increased [1] and the continuous and increasing demand of electrical energy consumption has greatly influenced the power system performance
Based on the above considerations, the present study proposes a wide-area decentralized coordinated control framework for multiple FACTS devices
Validity and applicability of the proposed coordinated control algorithms are demonstrated in a two-area four-generator system
Summary
With the rapid development of power systems, in recent years, the complexity of system structure and operating modes has been greatly increased [1] and the continuous and increasing demand of electrical energy consumption has greatly influenced the power system performance. It is noted that the study of MFCC based on WAMS is comparatively less, among which, reference [11] designs a controller that coordinates multiple robust FACTS damping controllers based on a BMI sequential approach It indicates that MFCC can remarkably enhance system stability and at the same time, eliminate the negative interaction among devices and they demonstrate the necessity of coordination. Aimed at deriving the controller parameter matrix, the quantum evolution algorithm (QEA) method is introduced to find an optimal solution In this regard, the stability of the system with a prescribed time delay is guaranteed and the system damping ratio is increased. Simulation results demonstrate that the under robust coordinated control, the controlled power system successfully runs in strong damping modes in four different operating conditions and the algorithm exhibits good control effect in a wide range of time-delay
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